Evidence map›Paper›PMID 42115259›Full record

ArticleScientific reports2026

Photocatalytic removal of Cr(VI) using cobalt ferrite-coated recycled cigarette butts under visible light: optimization via response surface methodology.

Abbas Yaghobi-Juybari, Mehdi Shirzad-Siboni, Azita Mohagheghian

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Abbas Yaghobi-JuybariDepartment of Environmental Health Engineering, Research Center of Health and Environment, School of Health, Guilan University of Medical Sciences, Rasht, Iran.
Mehdi Shirzad-SiboniDepartment of Environmental Health Engineering, Research Center of Health and Environment, School of Health, Guilan University of Medical Sciences, Rasht, Iran. mshirzadsiboni@yahoo.com.
Azita MohagheghianDepartment of Environmental Health Engineering, Research Center of Health and Environment, School of Health, Guilan University of Medical Sciences, Rasht, Iran. mohagheghian45@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the efficiency of a photocatalytic process utilizing a cobalt ferrite nanocomposite coated on recycled cigarette butts for the removal of hexavalent chromium Cr(VI) from aqueous environments under visible light. The variables under investigation were optimized using a entral composite design (CCD) within the framework of the response surface methodology (RSM). XRD, FTIR, SEM, and EDX mapping were employed to determine the structural, functional groups, morphology and compositional attributes of the synthesized nanocomposite. At the established optimal parameters (pH 2, 20 mg/L Cr(VI), 1.5 g/L catalyst dosage, and a reaction time of 120 min) the synthesized nanocomposite achieved a 95.49% photocatalytic reduction. Furthermore, the influence of environmental parameters, including purging gases, H₂O₂, organic compound types, various anions, radical scavengers, and catalyst recyclability, on the photocatalytic reduction of Cr(VI) was examined under optimal conditions. The value and accuracy of the proposed model were statistically evaluated based on the coefficient of determination (R²) and analysis of variance (ANOVA). The Visible/CoFe₂O₄-RCBs system demonstrated superior performance in Cr(VI) removal and optimal electrical energy consumption compared to other visible-light processes, achieving an energy efficiency of 6.89 × 10⁻

Indexed as

CCDCoFe₂O₄-RCBs nanocompositeHexavalent ChromiumPhotocatalytic ProcessToxicity

Identifiers

PMID42115259
PMCPMC13350962

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.